Achieving better Vehicle NVH performance using MSA and RBDO methods

In the context of NVH vehicle development, a common source of costly design change is where issues are discovered late in a program during vehicle testing or even post launch. Often this occurs where the simulation has met the targets including vehicle level analysis. By considering a population of results rather than the nominal CAE result, a process is demonstrated to develop a more reliable design that will deliver high levels of customer satisfaction and lower levels of late change and warranty costs. In this presentation we will introduce how this can be achieved through the use of MSA and RBDO methods within the framework of Altair’s NVH Director environment. Presenter: Peter Benzie - Senior Technical Specialist NVH, Altair


Delivering Off-Road Mobility for the U.S. Soldier

In this presentation, Dr. David J. Gorsich - Chief Scientist, U.S. Army Ground Vehicle Systems, describes the GVSC’s current programs to deliver an operational model and insights into future terrain mobility models. The ability of a ground force to maneuver has always been critical to determining success or defeat on the battlefield. On the future battlefield, mobility will remain essential with predictive intelligence central to mission completion. At present, mobility models are not terribly precise, as mobility depends on a large number of interdependent variables, like soil characteristics, moisture, temperature, vehicle characteristics, and with large amounts of uncertainty. The convergence of better ways to measure the key parameters either directly or remotely coupled with the increase in computational power and advanced vehicle design is bringing the promise of more accurate terrain and mobility models. Imagine a battlespace where we could accurately advise our forces where it is possible and not possible to maneuver, while the adversary does not have such an advantage.


Design Optimization & Lightweighting: Considering Uncertainties for Marine Applications

Reducing weight through design optimization can be another way to deal with global warming since it could reduce greenhouse gas emission. However, uncertainty can have a decisive effect on reliability and safety of a structure when the design is near-optimal or optimal. In this presentation, we will introduce how to consider uncertainties from environmental (wave, wind, current) loads, material properties, and manufacturing process in marine applications using RAMDO to obtain a reliable and light weighted design. Presenter: Hyun-Seok Kim - Senior Researcher, Korea Research Institute of Ships & Ocean Engineering (KRISO)


Design for Variability: Possibilities and Challenges

A brief overview of successful applications of variability simulation techniques in achieving better product designs, and discuss challenges in taking design for variability to the next level. Presenter: Jianmin Guan - Sr. Director, Vibration and Acoustics Solutions, Altair


Virtual Product Development via Physics-Based Simulation

As manufacturers face demands for faster time-to-market, higher quality, and cost-effective design, they started adopting Virtual Product Development (VPD) using physics-based simulation tools and avoid the build–test–redesign–retest cycle. The benefits of VPD are palpable, with reduced development costs, significantly fewer physical prototypes, and drastically shortened development schedules. Highly powerful CAE (FEA, CFD, MBD, Durability, Acoustics, etc.), CAD, CAM and Optimization Software make realization of VPD possible. However, to develop an effective VPD, the physics-based simulation model needs to be statistically validated (V&V) so they can represent the physical system well. Presenter: KK Choi - Managing Member, RAMDO Solutions


Robustness Optimization of Welded Structure for Minimized Mass and Target Fatigue Life

There is increasing need to reduce CO2 emissions and energy consumption, rising motivation for light weight design of load carrying structures of vehicles. However, as the structures are designed lighter, the stresses and risk of fatigue at welds tend to increase. Fatigue of welds is sensitive to variation of manufacturing quality. In this presentation, the effect of misalignment of welds on the fatigue life of an example steel structure is studied together with minimization of the structural mass. This is done using robustness optimization by RAMDO software. The robustness optimization enables minimizing the mass of the structure and still achieving the target reliability for the fatigue life. Local detailed weld FE-model is coupled with coarse shell element model of the structure, and the coupled FE-models are used in the optimization. Two ten piece series of welded structures were manufactured, from which the distributions of misalignments were estimated after dimensional measurements by a coordinate measuring machine (CMM). Presenter: Petteri Kokkonen - Senior Scientist, VTT Technical Research Centre of Finland Ltd. Presenter: Peter Benzie - Senior Technical Specialist NVH, Altair

Conference Presentations

Validating Virtual Proving Ground Loads

In the automotive industry, one of the biggest challenges is designing vehicles to withstand the variability in the duty cycle. To help speed up the design process and reduce cost, automotive OEMs are relying more and more on simulation. This 25-minute webinar, will explain how one OEM is relying more on their virtual proving ground during the design process, to reduce the amount of physical prototyping and rely on simulations and their virtual proving ground to obtain the loads for durability. To achieve this requires the OEM to have confidence that their simulation model provides the correct loads for durability. The model validation result provides the confidence number when comparing the loads obtained from the simulation to the loads measured from the actual proving ground. Presenter: Nicholas Gaul | Chief Technical Officer, RAMDO Solutions Featuring RAMDO by RAMDO Solutions, available through the Altair Partner Alliance


Using Data Science to Identify Injury Risk Levels of Vehicle Passenger Population Segments

Vehicle designers face a challenge to design vehicle passenger restraint systems that account for variability in driver BMI, stature, age, and gender. One solution is to design an adaptive restraint system that accounts for these variations. However, it is difficult to assess how this combination of factors affect the injury risk level. We will present, how using the injury risk simulations, uncertainty quantification, and data science provides a method to segment the population and identify injury risk level within each segment. This provides designers with a powerful tool to create designs reducing injury risk for all passengers.


RAMDO 2019 ATC Lunch and Learn Presentation

Using Data Science to Identify Injury Risk Levels of Vehicle Passenger Population Segments

Conference Presentations

Case Study: Reliability-Based Stochastic Mobility Maps

This case study shows how RAMDO software, when used in conjunction with computer simulations, provides improved mobility mapping. For efficient mission planning of troop movement, the Department of Defense needs reliable mobility maps. These maps are important for decision makers to plan routes and operations, select capable vehicles, and assess mission success of failure. The stakes are high, as mission failure often means potential loss of life.

Case Study

RAMDO Showcase Video

Introductory Video to RAMDO from RAMDO Solutions. RAMDO is an uncertainty quantification, reliability analysis, and design optimization software platform.

Product Overview Videos

Introduction to RAMDO

An introductory webinar to RAMDO, an uncertainty quantification, reliability analysis, and design optimization software platform. RAMDO is a complimentary CAE software that when used in conjunction with a design simulation package provides a more reliable product design. RAMDO allows engineers to take into account the variability of design inputs (materials, loads, etc.) along with operating conditions and create an optimized solution.


RAMDO - HyperStudy & OptiStruct Example

This step-by-step tutorial details how to use RAMDO with HyperStudy and OptiStruct.

Technical Document

RAMDO Brochure

RAMDO increases the reliability and robustness of optimized designs while significantly reducing the time and limited computer resources needed to accurately solve multidisciplinary design problems.


Top Use Cases: RAMDO

Presentation introducing a few of the top use cases for variability & uncertainty software, RAMDO.

Use Cases